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2022-11-10 客户需求如下:
实施步骤
1.按照pyodbc库
2.如果没有装过微软的access数据库的话,那么需要先安装access的驱动程序
32位:http://download.microsoft.com/download/E/4/2/E4220252-5FAE-4F0A-B1B9-0B48B5FBCCF9/AccessDatabaseEngine.exe
64位:http://download.microsoft.com/download/E/4/2/E4220252-5FAE-4F0A-B1B9-0B48B5FBCCF9/AccessDatabaseEngine_X64.exe
3.Excel表格
CustomerID | FName | LName | StateName | Gender | HHI | Marital | Children | HasPets |
2669 | Andrew | Sanchez | Montana | m | 102505 | married | 0 | n |
468 | Owen | Mitchell | Idaho | m | 164399 | single | 0 | n |
525 | Penelope | Johnson | New Mexico | f | 102258 | married | 3 | n |
530 | Barrett | Martinez | Colorado | m | 83000 | single | 1 | y |
738 | Chase | Harrington | Colorado | m | 84105 | married | 1 | n |
879 | Samuel | Atkinson | Wyoming | m | 133509 | single | 0 | y |
922 | Evie | O'Brien | Wyoming | f | 74435 | single | 0 | n |
993 | Raquel | Martin | Colorado | f | 72538 | married | 3 | y |
1452 | Jackson | Phillips | Wyoming | m | 163960 | single | 5 | n |
1457 | Samuel | Patterson | Idaho | |||||
1583 | Max | Jones | Utah | m | 61452 | married | 1 | y |
1695 | Justin | Decker | New Mexico | m | 357079 | single | 1 | y |
1714 | Brittany | Diaz | Utah | f | 76718 | married | 4 | y |
4.代码
#导入pyodbc
import pyodbc
mdb_file=r'C:\\Users\\Administrator\\jupyter\\access\\Database1.accdb'
driver = '{Microsoft Access Driver (*.mdb,*.accdb)}'
conn = pyodbc.connect(r"Driver={Microsoft Access Driver (*.mdb, *.accdb)};DBQ=" + DBfile + ";Uid=;Pwd=;")
cur = conn.cursor()
sql = "SELECT * FROM 表1"
print(sql)
cur.execute(sql)
alldata = cur.fetchall()
#导入pypyodbc
import pypyodbc
mdb = 'Driver={Microsoft Access Driver (*.mdb,*.accdb)};DBQ=C:\\Users\\Administrator\\jupyter\\access\\Database1.accdb'
conn = pypyodbc.win_connect_mdb(mdb)
cur = conn.cursor()
sql = "SELECT * FROM 表1"
print(sql)
cur.execute(sql)
alldata = cur.fetchall()
print(alldata)
#读取access文件
[x for x in pyodbc.drivers() if x.startswith('Microsoft Access Driver')]
mdb_file=r'C:\\Users\\Administrator\\jupyter\\access\\Database1.accdb'
driver = '{Microsoft Access Driver (*.mdb,*.accdb)}'
conn = pyodbc.connect(r"Driver={Microsoft Access Driver (*.mdb, *.accdb)};DBQ=" + mdb_file + ";Uid=;Pwd=;")
cur = conn.cursor()
#cur.execute('DROP TABLE CustomerInfo ')
#遍历ACCDB文件中的表名
tables=[]
for table_name in cur.tables(tableType="TABLE"):
print(table_name.table_name)
tables.append(table_name.table_name)
print(tables)
# 创建access表的sql语句
sql = """
create table CustomerInfo
(
CustomerID AUTOINCREMENT PRIMARY KEY,
FName varchar(255),
LName varchar(255),
StateName varchar(255),
Gender varchar(255),
HHI INTEGER,
Marital varchar(255),
Children INTEGER,
HasPets varchar(255)
);"""
if "CustomerInfo" not in tables:
print(sql)
cur.execute(sql)
sql = "SELECT * FROM CustomerInfo"
print(sql)
cur.execute(sql)
alldata = cur.fetchall()
print(alldata)
conn.commit()
#使用pandas读取excel表并对空值填充并删除重复的并重置index
import pandas as pd
df=pd.read_excel('Major Programming HW Dataset.xlsx')
df['Gender'].fillna(" ",inplace=True)
df['HHI'].fillna(0,inplace=True)
df['Marital'].fillna(" ",inplace=True)
df['Children'].fillna(0,inplace=True)
df['HasPets'].fillna(" ",inplace=True)
df.drop_duplicates(subset=['CustomerID'],keep='first',inplace=True)
df.reset_index(inplace=True,drop=True)
df
#遍历dataframe表insert Access
sql = "delete FROM CustomerInfo"
print(sql)
cur.execute(sql)
for i in range(len(df)):
sql=f"INSERT INTO CustomerInfo(CustomerID, FName,LName,StateName,Gender,HHI,Marital,Children,HasPets) VALUES (%d,'%s' ,'%s','%s','%s',%d,'%s',%d,'%s')"%(df.loc[i,'CustomerID'],df.loc[i,'FName'],df.loc[i,'LName'].replace("'",""),df.loc[i,'StateName'],df.loc[i,'Gender'],df.loc[i,'HHI'],df.loc[i,'Marital'],df.loc[i,'Children'],df.loc[i,'HasPets'])
print(sql)
cur.execute(sql)
conn.commit()
#全部代码
def f_driver():
return [x for x in pyodbc.drivers() if x.startswith('Microsoft Access Driver')]
def d_driver():
mdb_file=r'C:\\Users\\Administrator\\jupyter\\access\\Database1.accdb'
driver = '{Microsoft Access Driver (*.mdb,*.accdb)}'
conn = pyodbc.connect(r"Driver={Microsoft Access Driver (*.mdb, *.accdb)};DBQ=" + mdb_file + ";Uid=;Pwd=;")
cur = conn.cursor()
return cur
def di_table(cur):
tables=[]
for table_name in cur.tables(tableType="TABLE"):
#print(table_name.table_name)
tables.append(table_name.table_name)
return tables
def cre_table(cur,tables):
# 创建表的sql语句
sql = """
create table CustomerInfo
(
CustomerID AUTOINCREMENT PRIMARY KEY,
FName varchar(255),
LName varchar(255),
StateName varchar(255),
Gender varchar(255),
HHI INTEGER,
Marital varchar(255),
Children INTEGER,
HasPets varchar(255)
);"""
if "CustomerInfo" not in tables:
#print(sql)
cur.execute(sql)
sql1 = """
create table Customer
(
CustID AUTOINCREMENT PRIMARY KEY,
FName varchar(255),
LName varchar(255),
StateName varchar(255),
HHI INTEGER,
Marital varchar(255),
Children INTEGER,
HasPets varchar(255)
);"""
if "Customer" not in tables:
#print(sql1)
cur.execute(sql1)
def dao_excel(cur):
#使用pandas读取excel表并对空值填充并删除重复的并重置index
#import pandas as pd
df=pd.read_excel('Major Programming HW Dataset.xlsx')
df['Gender'].fillna(" ",inplace=True)
df['HHI'].fillna(0,inplace=True)
df['Marital'].fillna(" ",inplace=True)
df['Children'].fillna(0,inplace=True)
df['HasPets'].fillna(" ",inplace=True)
df.drop_duplicates(subset=['CustomerID'],keep='first',inplace=True)
df.reset_index(inplace=True,drop=True)
#遍历dataframe表insert Access
sql = "delete FROM CustomerInfo"
#print(sql)
cur.execute(sql)
for i in range(len(df)):
sql=f"INSERT INTO CustomerInfo(CustomerID, FName,LName,StateName,Gender,HHI,Marital,Children,HasPets) VALUES (%d,'%s' ,'%s','%s','%s',%d,'%s',%d,'%s')"%(df.loc[i,'CustomerID'],df.loc[i,'FName'],df.loc[i,'LName'].replace("'",""),df.loc[i,'StateName'],df.loc[i,'Gender'],df.loc[i,'HHI'],df.loc[i,'Marital'],df.loc[i,'Children'],df.loc[i,'HasPets'])
#print(sql)
cur.execute(sql)
conn.commit()
return df
def print_cut(cur):
sql = "SELECT * FROM Customer"
print(sql)
cur.execute(sql)
alldata = cur.fetchall()
print(alldata)
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